Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
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- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Mayora Indah | Consumer Packaged Goods | 13333 | $2.0B | Indonesia | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2019 | n/a | ||
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MBSB Bank Berhad | Banking and Financial Services | 3200 | $690M | Malaysia | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2005 | n/a | In 2005, MBSB Bank Berhad invested RM1.4 Million in SAS Credit Scoring and implemented SAS Enterprise Miner as a core Analytics and BI capability for its data mining and predictive analytics program. The 2005 implementation included SAS Enterprise Guide and SAS Enterprise Miner, and the bank subsequently upgraded its data mining environment with SAS Rapid Predictive Modeler when it moved to a higher capacity server, positioning MBSB as an early adopter of the Rapid Predictive Modeler offering. The deployment centered on data mining and predictive model development, with explicit use cases for credit scorecard creation and campaign management. SAS Enterprise Miner and SAS Rapid Predictive Modeler were used to build credit scoring models and to surface customer behavior patterns, while SAS Credit Scoring provided scoring-specific functionality to assess retail loan applications and segment customers for targeted campaigns. Operational coverage emphasized retail banking product lines, including personal financing and home mortgage products, and supported marketing-led initiatives to improve campaign penetration among under-penetrated segments. The technical change included a server capacity upgrade to host higher volume model runs and to enable the Rapid Predictive Modeler workflow; no other system integrations are specified in the source material. Governance and process orientation shifted toward evidence based decision making for credit approval and campaign targeting, with credit risk scorecards used by decision makers to assess and approve loans. According to MBSB leadership and SAS, the implementations were intended to uncover unknown patterns and opportunities to drive proactive business decisions and to support the bank's strategy to grow retail assets while maintaining agile, personalized service. | |
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Transportation | 405 | $800M | Australia | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Automotive | 280 | $853M | Australia | Microsoft | Microsoft Power BI | Analytics and BI | 2019 | n/a |
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Construction and Real Estate | 900 | $120M | Australia | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Construction and Real Estate | 900 | $120M | Australia | Tableau Software | Tableau | Analytics and BI | 2016 | n/a |
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Transportation | 1100 | $195M | Australia | Qlik | QlikView | Analytics and BI | 2015 | n/a |
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Transportation | 1100 | $195M | Australia | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Oil, Gas and Chemicals | 300 | $240M | New Zealand | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Oil, Gas and Chemicals | 300 | $240M | New Zealand | IBM | IBM Cognos Analytics | Analytics and BI | 2020 | n/a |
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